Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR25418866.fastq.gz | Fastqsanger.gz | |||
| SRR25418867_1.fastq.gz | Fastqsanger.gz | |||
| SRR25418867_2.fastq.gz | Fastqsanger.gz |
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Project description:Recombinant AAV vectors have the unique ability to promote targeted integration of transgenes via homologous integration at specified genomic sites reaching frequencies of 0.1-1%. We studied genomic parameters that influence targeting efficiencies on a large scale. To do this, we generated more than 1000 engineered, doxycycline-inducible target sites in the human HAP1 cell line and infected this polyclonal population with a library of AAV-DJ targeting vectors each carrying a unique barcode. The heterogeneity of barcode integration at each target site provided an assessment of the targeting efficiency at that locus. We compared targeting efficiency with and without target site transcription for identical chromosomal positions, finding that targeting efficiency was enhanced by target site transcription. Chromatin states associated with active transcription were also predictive of higher targeting efficiency. Furthermore, there was an effect on the amenability of a site to targeting due to other factors such as the level of transcription from intersecting genes. These results define important parameters that may not only assist in designing optimal targeting vectors for genome editing, but also provide new insights into the mechanism of AAV-mediated homologous recombination.
2020-06-04 | GSE151740 | GEO
Project description:Introduction. ANCA-associated vasculitis with glomerulonephritis (AAV-GN) frequently progresses to kidney failure. However, tools for risk stratification of renal outcomes remain limited. Existing approaches inadequately capture the molecular complexity underlying kidney injury, despite its potential value to tailor therapeutic management. We explored whether kidney transcriptomics could identify molecular signatures linked to renal outcomes. Methods. We included 199 patients with AAV-GN from two multicenter biobanks, and 23 controls. Kidney biopsies were profiled using NanoString nCounter to assess the expression of 750 immune-related genes. We conducted differential gene expression analysis, pathway enrichment analysis, and immune cell infiltration estimation to explore associations with kidney function and survival. A 12-gene prognostic signature was developed via LASSO-penalized Cox regression and compared to established histological classifications (Berden classification, Renal Risk Score, and ANCA Kidney Risk Score) with robust internal validation. Results. AAV-GN demonstrated extensive immune dysregulation with 150 differentially expressed genes versus controls, highlighting complement activation, immune cell recruitment and activation, TGFβ signaling, and immunometabolism pathways. Immune cell infiltration was marked by increased macrophages, dendritic cells, neutrophils, and T cell subsets, reflecting broad immune activation. Initial eGFR correlated with the expression of 319 genes. A 12-gene signature (CLU, C3, LTF, FLT1, PLCG2, FES, PRKCD, TXNIP, SLC7A5, PTEN, NRBF2, NFATC1) was significantly more strongly associated with kidney survival than were established histological classifications (adjusted p-value < 0.0001). Both high and low expression of several immune pathways (especially lymphocyte trafficking) were associated with better outcomes compared to intermediate expression. Conclusion. Transcriptomic analysis of kidney biopsies in AAV-GN identified 150 differentially expressed immune-related genes and led to the development of a 12-gene signature that correlated strongly with kidney survival, outperforming established histological classifications.
2026-01-21 | GSE298999 | GEO
Project description:To study monocyte and macrophage activation in ANCA-associtated vasculitis (AAV), we performed bulk RNA sequencing of bead-selected monocytes and in vitro cultured monocyte-derived macrophages from AAV patients and healthy controls. Overview patients included for sequencing monocytes: - AAV active disease, n=4, MPO-AAV=4 - AAV remission, n=10, PR3-AAV=5, MPO-AAV=5 - Healthy controls, n=6 Overview patients included for sequencing monocyte-derived macrophages: - AAV active, n=1, PR3-AAV=1 - AAV remission, n=3, PR3-AAV=3 - Healthy controls, n=3
2024-06-20 | E-MTAB-13676 | biostudies-arrayexpress
Project description:CRISPR-Cas9 delivery by AAV holds promise for gene therapy but faces critical barriers due to its potential immunogenicity and limited payload capacity. Here, we demonstrate genome engineering in postnatal mice using AAV-split-Cas9, a multi-functional platform customizable for genome-editing, transcriptional regulation, and other previously impracticable AAV-CRISPR-Cas9 applications. We identify crucial parameters that impact efficacy and clinical translation of our platform, including viral biodistribution, editing efficiencies in various organs, antigenicity, immunological reactions, and physiological outcomes. These results reveal that AAV-CRISPR-Cas9 evokes host responses with distinct cellular and molecular signatures, but unlike alternative delivery methods, does not induce detectable cellular damage in vivo. Our study provides a foundation for developing effective genome therapeutics mRNA-Seq from muscles (9 samples; 3 mice x 3 conditions) and lymph nodes (9 samples; 3 mice x 3 conditions).
2016-07-29 | E-GEOD-84534 | biostudies-arrayexpress
Project description:We have previously developed a modified iteration of a viral chromosome conformation capture (V3C-seq) assay to show that the autonomous parvovirus Minute Virus of Mice (MVM) localizes spatially with cellular sites of DNA damage to establish viral replication centers. Similar V3C-seq assays to map AAV genome localization show that both replicating and non-replicating AAV2 genomes in the absence of helper virus colocalize with cellular sites of DNA damage. The AAV non-structural protein Rep 68/78, when ectopically expressed in the absence of viral infection or during AAV2 infection in the absence of helper proteins also localizes to cellular sites of DNA damage. Strikingly however, recombinant AAV gene therapy vector genomes derived from AAV do not colocalize with AAV and Rep at cellular DDR sites.
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Project description:Genome editing has transformative potential for curing human diseases but poses unique challenges due to irreversible DNA alterations. Ensuring safe and effective in vivo editing requires preclinical studies to mitigate risks like genotoxicity, cytotoxicity, and immunogenicity. The kidney, highly susceptible to off-target effects due to its blood flow and exposure to systemic therapies, lacks established human models for assessing gene therapies. We utilized kidney organoids as a preclinical platform to test CRISPR/Cas9 genome editing via adeno-associated virus (AAV) delivery, a clinical strategy raising safety concerns due to toxic viral titers. We conduced RNA-seq to assess nephrotoxic responses.
2025-01-14 | GSE286037 | GEO
Project description:We report ChIP-Seq data for C/EBPa in livers of mice with liver-specific KO (LSKO) of Trib1 as compared to WT controls, or in livers of mice overexpressing C/EBPa via adeno-associated virus (AAV) as compared to controls. 8-10 week old Trib1 flox/flox mice treated with AAV_Null (WT) or AAV_Cre (LSKO); 8-10 week old C57B/6 WT mice treated with AAV_Null or AAV_Cebpa.
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Project description:Deciphering patterns of connectivity between neurons in the mammalian brain is a critical step toward understanding brain function. Conventional imaging based neuroanatomical tracing methods identify area-to-area or sparse neuron-to-neuron connectivity patterns, but with extremely limited throughput. Recently developed barcode-based connectomics methods can efficiently map large numbers of single-neuron projections, but linking these data to single-cell transcriptomics remains a challenge. Here, we established a retro-AAV barcode-based multiplexed tracing method called MERGE-seq (Multiplexed projection neuRons retroGrade barcodE sequencing), which is capable of simultaneously characterizing the projectome and transcriptome at the single neuron level. We uncovered dedicated and collateral projection patterns of ventromedial prefrontal cortex (vmPFC) neurons to five downstream targets (AI, DMS, BLA, MD and LH). We found that projection-defined vmPFC neurons are molecularly heterogeneous, which are composed of different neuronal subtypes. We further identified transcriptional signatures of various dedicated and bifurcated vmPFC neurons, and verified Pou3f1 as the marker gene of neurons sending collateral axons to DMS and LH. Finally, we fitted our single-neuron connectome/transcriptome data into a machine learning-based model and revealed groups of genes that were predictive of certain projection pattern. In summary, we have developed a new multiplexed technique whose paired connectome and gene expression data can help reveal organizational principles that form neural circuits and process information.
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